Try KePilot: KePilot can reproduce complex GitHub repositories with a reproducibility rate of 60%, meaning it successfully runs most of the repositories without errors or manual configuration. On top of that, a growing database of preloaded environments.

solved by us!.

We compared KePilot with Cursor and GPT5 by giving a random GitHub repo link. We asked to reproduce the results and here is what we got:.1) KePilot time: 10min, task completion: completed.2) GPT5 time: 1 min, task completion: failed.3) Cursor time: 25min, task completion: failed

What’s one part of your AI/ML workflow you wish was automated by now?.

Kepilot is a platform designed to simplify complex AI/ML research. It brings together all essential research tools in one interface and automatically sets up the environment for your project, which you can also customize directly in the web. Additionally, Kepilot includes a

𝐘𝐮𝐭𝐨𝐧𝐠, 𝐨𝐮𝐫 𝐒𝐲𝐬𝐭𝐞𝐦 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐌𝐚𝐧𝐚𝐠𝐞𝐫, 𝐬𝐡𝐚𝐫𝐞𝐝 𝐡𝐞𝐫 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐬𝐞𝐭𝐮𝐩 𝐚𝐧𝐝 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐀𝐈 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬:."𝘚𝘦𝘵𝘵𝘪𝘯𝘨 𝘶𝘱 𝘦𝘯𝘷𝘪𝘳𝘰𝘯𝘮𝘦𝘯𝘵𝘴 𝘸𝘢𝘴.

Docker (or containers) serves as a foundational component of our product, but it represents just one aspect of the overall solution. First of all, our core product, Kepilot, autonomously builds containers, significantly reducing the need for human intervention and ensuring.

How much time do you spend setting up and testing the environment for your AI/ML projects?. As a team who has been actively participating in AI field for more than 15 years, we are developing a platform to eliminate manual environment setup, resolve conflicts automatically, and.